How Rachel at Quandri Technologies Screened 2,000 Resumes Without Missing Top Candidates

Introduction

When you’re the only person managing HR and recruitment at a fast-growing startup, your time becomes your most valuable asset. That’s exactly the case for Rachel Ward, People & Talent at Quandri Technologies, a 70-person B2B SaaS company based in Vancouver.

In a recent testimonial, Rachel shared her experience using Brainner’s AI resume screening platform during one of the busiest hiring weeks of her career—and how it helped her solve a problem many solo recruiters face every day.

“I am the sole HR and recruiter here at Quandri… it’s been a very busy time, and that’s where I’ve really enjoyed and relied on Brainner.”

The Problem: 2,000 Applications in a Week

Like many companies today, Quandri saw a surge in applications for a single role.

“We got almost 2,000 applications in a week. It was really surprising… You just don’t have the time to manually go through every single resume.”

Before using Brainner, Rachel would read through about 200 resumes—at most. The rest? Left unseen.

“I was sat there thinking, oh man, I wonder what good candidates are in all the other remaining applicants that I never got around to reading. There’s probably some gems there that I’m missing, but we’ll just never know.”

The Solution: Prioritizing Resumes Based on Criteria

Rachel started using Brainner to define the key competencies for each position—things like experience, technical skills, or qualifications necessary for success. Then Brainner took over.

“The main benefit of Brainner for me is being able to put in the core competencies that we need people to have… and then it’ll basically sort all 2,000 of those applicants based on who meets those criteria.”

Rather than sorting manually—or worse, reviewing in random order—Rachel could now read the best-matched applicants first.

“So the first 200 applicants I read are all strongly fit with the role… and I’m not missing an amazing candidate who’s just farther down the list.”

The Outcome: More Confidence, Less Guesswork

Instead of crossing her fingers and hoping the best candidates were somewhere in the 10% she had time to review, Rachel now reviews candidates in priority order—with AI doing the heavy lifting upfront.

“The outcome I like the most is that Brainner helps sort all our applicants in the order to which I should be reviewing them. Rather than me missing applicant 1,573 because I never get there.”

Why It Works for Lean Teams

Rachel recommends Brainner to any recruiting team handling high volumes of applicants—especially lean teams who need to focus their limited time where it matters most.

“I would recommend Brainner to other teams, especially those with a high volume of applicants. It’s been a real game-changer tool for me—and for the price, it just really makes sense.”

Brainner’s Three-Step Process

Here’s how Brainner helps recruiters like Rachel simplify resume screening:

1. Define the Criteria – Collaborate with hiring managers and input the must-have skills, experiences, and qualifications directly into the platform.
2. Analyze with AI – Brainner evaluates every applicant in real time, using natural language processing to understand if candidates meet the criteria—objectively and impartially.
3. Make Smarter Decisions – Recruiters can focus first on the highest-match candidates, navigate through organized profiles, and spend time where it matters most.

Whether you’re managing hiring alone or as part of a large team, Brainner ensures you never miss a great candidate again—no matter how many applications you receive.